| ext_param() const | RandomForest | |
| garbage_prediction_ | RandomForest | [mutable, protected] |
| learn(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &response, Visitor_t visitor, Split_t split, Stop_t stop, Random_t const &random) | RandomForest | |
| learn(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &labels) | RandomForest | |
| options() const | RandomForest | |
| predictLabel(MultiArrayView< 2, U, C >const &features, Stop &stop) const | RandomForest | |
| predictLabel(MultiArrayView< 2, U, C > const &features, ArrayVectorView< double > prior) const | RandomForest | |
| predictLabels(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &labels) const | RandomForest | |
| predictProbabilities(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &prob, Stop &stop) const | RandomForest | |
| predictProbabilities(MultiArrayView< 2, U, C1 >const &features, MultiArrayView< 2, T, C2 > &prob) const | RandomForest | |
| RandomForest(Options_t const &options=Options_t(), ProblemSpec_t const &ext_param=ProblemSpec_t()) | RandomForest | |
| RandomForest(int treeCount, TreeIterator trees, WeightIterator weights, ProblemSpec_t const &problem_spec, Options_t const &options=Options_t()) | RandomForest | |
| reLearnTree(MultiArrayView< 2, U, C1 > const &features, MultiArrayView< 2, U2, C2 > const &response, int treeId, Visitor_t visitor_, Split_t split_, Stop_t stop_, Random_t &random) | RandomForest | |
| set_ext_param(ProblemSpec_t const &in) | RandomForest | |
| set_options() | RandomForest | |
| tree(int index) const | RandomForest | |
| tree(int index) | RandomForest | |
